Base: $200k to $260k; bonus/variable: expected on-...
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10+ years product management experience
Ai/ml platform expertise
Rag pipeline architecture knowledge
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Hitachi Vantara is seeking a Senior Product Manager for AI Platforms to oversee key product areas within their Hitachi iQ and iQ Studio portfolio. The ideal candidate should have extensive experience in product management, particularly in AI/ML platforms and data infrastructure, and will be responsible for driving product ownership and roadmap execution.
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Job Summary
This role is critical to building AI-ready data platforms that enable enterprises to operationalize AI at scale.
You will operate as a builder and owner, working closely with engineering, customers, and GTM teams to deliver high-impact AI capabilities.
Employees are eligible to participate in Hitachi Vantara's bonus/variable/commission pay programs and enjoy industry-leading benefits supporting holistic health.
Matching Summary
Match Score: 75
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Hitachi Vantara is seeking a Senior Product Manager for AI Platforms to oversee key product areas within their Hitachi iQ and iQ Studio portfolio. The ideal candidate should have extensive experience in product management, particularly in AI/ML platforms and data infrastructure, and will be responsible for driving product ownership and roadmap execution.
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Salary
Base: $200K to $260K; Bonus/Variable: Expected on-target earnings $234K to $304K; Benefits: Industry-leading benefits and flexible arrangements
Skills & Requirements
Must-have
10+ years Product Management experience
AI/ML platform expertise
RAG pipeline architecture knowledge
Agentic AI workflow design
Data infrastructure and storage systems
Kubernetes and cloud-native platforms
Nice-to-have
Strong bias for action in ambiguous environments
Experience with NVIDIA ecosystem alliances
Proven track record of customer POC success
Ability to drive cross-functional collaboration
Key Requirements
10+ years in Product Management or related roles
Experience in AI/ML platforms or Data infrastructure
Strong technical understanding of APIs and microservices